Expand source code 
from imodels.rule_set.boosted_rules import BoostedRulesClassifier
from imodels.rule_set.slipper_util import SlipperBaseEstimator


class SlipperClassifier(BoostedRulesClassifier):
    def __init__(self, n_estimators=10, **kwargs):
        '''
        An estimator that supports building rules as described in
        A Simple, Fast, and Effective Rule Learner (1999).
        Parameters
        ----------
        n_estimators
        '''
        super().__init__(estimator=SlipperBaseEstimator(), n_estimators=n_estimators, **kwargs)
        # super().__init__(n_estimators, SlipperBaseEstimator)

Classes

class SlipperClassifier (n_estimators=10, **kwargs)

An easy-interpretable classifier optimizing simple logical rules.

Params

estimator: object with fit and predict methods Defaults to DecisionTreeClassifier with AdaBoost. For SLIPPER, should pass estimator=imodels.SlipperBaseEstimator

An estimator that supports building rules as described in A Simple, Fast, and Effective Rule Learner (1999). Parameters

n_estimators
 
Expand source code 
class SlipperClassifier(BoostedRulesClassifier):
    def __init__(self, n_estimators=10, **kwargs):
        '''
        An estimator that supports building rules as described in
        A Simple, Fast, and Effective Rule Learner (1999).
        Parameters
        ----------
        n_estimators
        '''
        super().__init__(estimator=SlipperBaseEstimator(), n_estimators=n_estimators, **kwargs)
        # super().__init__(n_estimators, SlipperBaseEstimator)

Ancestors

  • BoostedRulesClassifier
  • sklearn.ensemble._weight_boosting.AdaBoostClassifier
  • sklearn.utils._metadata_requests._RoutingNotSupportedMixin
  • sklearn.base.ClassifierMixin
  • sklearn.ensemble._weight_boosting.BaseWeightBoosting
  • sklearn.ensemble._base.BaseEnsemble
  • sklearn.base.MetaEstimatorMixin
  • sklearn.base.BaseEstimator
  • sklearn.utils._estimator_html_repr._HTMLDocumentationLinkMixin
  • sklearn.utils._metadata_requests._MetadataRequester

Inherited members